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Hanqing Hu
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2020 – today
- 2024
- [j6]Hanqing Hu, Mehmed M. Kantardzic, Shreyas Kar:
Explainable data stream mining: Why the new models are better. Intell. Decis. Technol. 18(1): 371-385 (2024) - [c12]Chaoxiang He, Xiaojing Ma, Bin B. Zhu, Yimiao Zeng, Hanqing Hu, Xiaofan Bai, Hai Jin, Dongmei Zhang:
DorPatch: Distributed and Occlusion-Robust Adversarial Patch to Evade Certifiable Defenses. NDSS 2024 - 2023
- [j5]Hanqing Hu, Zhengxun Li
, Weichao Gao:
MPCNet: Improved MeshSegNet Based on Position Encoding and Channel Attention. IEEE Access 11: 23326-23334 (2023) - [c11]Xinxin Du, Hongxia Cui, Yechen Yan, Hanqing Hu:
Research on Cesium Monomerization Algorithm for 3D Model from Oblique Photogrammetry. RICAI 2023: 1170-1174 - [c10]Jason Turner
An Interdisciplinary Approach to Misinformation and Concept Drift in Historical Cannabis Tweets. ICSC 2023: 317-322 - 2021
- [j4]Hanqing Hu, Mehmed M. Kantardzic:
Heuristic ensemble for unsupervised detection of multiple types of concept drift in data stream classification. Intell. Decis. Technol. 15(4): 609-622 (2021) - 2020
- [j3]Hanqing Hu, Yu Ma, Sijian Wu:
Fuzzy comprehensive evaluation on high-quality development of China's rural economy based on entropy weight. J. Intell. Fuzzy Syst. 38(6): 7531-7539 (2020) - [j2]Hanqing Hu, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
No Free Lunch Theorem for concept drift detection in streaming data classification: A review. WIREs Data Mining Knowl. Discov. 10(2) (2020)
2010 – 2019
- 2018
- [c9]Hanqing Hu, Mehmed M. Kantardzic, Lingyu Lyu:
Detecting Different Types of Concept Drifts with Ensemble Framework. ICMLA 2018: 344-350 - [c8]Lingyu Lyu, Mehmed M. Kantardzic, Hanqing Hu:
Worker Filtering with Limited Supervision in Crowdsourcing Systems. ICMLA 2018: 802-807 - [c7]Michael Kronmueller, Dar-Jen Chang, Hanqing Hu, Ahmed Desoky:
A Graph Database of Yelp Dataset Challenge 2018 and Using Cypher for Basic Statistics and Graph Pattern Exploration. ISSPIT 2018: 135-140 - [c6]Haifeng Li, Xiaohua Chen, Yuejin Zhang, Mo Hai, Hanqing Hu:
A New Factor in the Effect of Crowdfunding Projects. ITQM 2018: 114-119 - [c5]Haifeng Li, Yuejin Zhang, Mo Hai, Hanqing Hu:
Finding Fuzzy Close Frequent Itemsets from Databases. ITQM 2018: 242-247 - 2017
- [c4]Hanqing Hu, Mehmed M. Kantardzic:
Sliding Reservoir Approach for Delayed Labeling in Streaming Data Classification. HICSS 2017: 1-10 - 2016
- [j1]Tegjyot Singh Sethi, Mehmed M. Kantardzic
A grid density based framework for classifying streaming data in the presence of concept drift. J. Intell. Inf. Syst. 46(1): 179-211 (2016) - [c3]Hanqing Hu, Mehmed M. Kantardzic
Smart Preprocessing Improves Data Stream Mining. HICSS 2016: 1749-1757 - 2014
- [c2]Tegjyot Singh Sethi, Mehmed M. Kantardzic
An ensemble classification approach for handling spatio-temporal drifts in partially labeled data streams. IRI 2014: 725-732 - 2013
- [c1]Hanqing Hu, Mehmed M. Kantardzic
Selecting samples for labeling in unbalanced streaming data environments. ICAT 2013: 1-7
Coauthor Index
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